Dataset Versions

v5

2024-08-14 4:57am

Generated on Aug 14, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 93%
2229Images
Valid Set 5%
115Images
Test Set 2%
43Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Shear: ±10° Horizontal, ±8° Vertical
Saturation: Between -14% and +14%
Exposure: Between -10% and +10%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -8° and +8°